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- Tasks: Lead data science projects and collaborate with cross-functional teams to drive innovation.
- Company: Join Autotrader, the UK's top automotive marketplace, known for its tech-savvy approach.
- Benefits: Enjoy a competitive salary, share options, 28 days holiday, and hybrid working model.
- Why this job: Be part of a vibrant culture focused on diversity, collaboration, and continuous learning.
- Qualifications: Experience in data science, machine learning, and project leadership is essential.
- Other info: Access to 24/7 online healthcare and support for various personal needs.
The predicted salary is between 43000 - 61000 ÂŁ per year.
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About Us
You’ve probably heard of Autotrader, but do you know what we’re all about?
About Us
You’ve probably heard of Autotrader, but do you know what we’re all about?
We’re the UK’s leading automotive marketplace, a heritage brand, and a tech darling of the stock market. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we’re best known for but we’re also the place for pretty much everything else on wheels, from e-bikes to caravans.
In the automotive world, change is a constant, that’s why we take our job of untangling the complex car-buying journey very seriously.
At our core, we’re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together.
Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you.
About The Job
We are seeking a Senior Data Scientist who will play a crucial role in driving Autotrader’s transformation into a data science-driven organisation.
As a Senior Data Scientist you will be responsible for the direction of Data Science at Autotrader. You will join a cross-functional collaborative squad focussed around a set of products or a services. With your experience and research skills you will spot the opportunities for Data Science and work with the leadership in your squad to prioritise, resource and shape subsequent projects. Your role will require you to orchestrate these projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.
Right now, our Data Scientists are working on several exciting projects. For instance, they’re creating personalised suggestions to get buyers more involved, improving our search system to make buying better for customers while also helping sellers stand out, building AI tools to aid customers in tasks like making listings and describing ads, studying how competition affects seller performance on our site, and upgrading our customer data platform for better targeted marketing beyond our site.
As part of our broader analytical community, Data Scientists collaborate closely with Data Analysts and Digital Analysts. Together, they foster a culture of shared insights, continuous learning, and mutual support through regular showcases, feedback sessions, mentorship programs and skill-based workshops. As a Senior member of the community, you will play a key role in establishing our analytical standards and tools.
We Have Invested Heavily In a Data Platform That Supports Industry-leading Data Science. These Are Some Technologies That Our Data Scientists Use (we Don’t Expect Applicants To Have Experience With All Of These)
Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.
Discover more about our
What We’re Looking For
We are looking to grow our diverse team of curious data scientists. In your application, you should demonstrate:
- A track record of delivering data science solutions in a commercial business
- Experience productionising machine learning workflows. Knowledge of deployment and monitoring strategies.
- A deep understanding of ML frameworks, algorithms and statistical methods
- Expertise with Python and SQL
- Experience orchestrating data science projects in cross-functional teams and confidence leading other data scientists
- Enthusiasm for engaging with stakeholders both technical and non-technical to identify opportunities for Data Science and influence squad roadmaps
- A passion for coaching Data Analysts and Data Scientists
Benefits
We’re offering a salary of £50,000 – £70,000+, plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.
You’ll have 28 days holiday per year, and that’s in addition to bank holidays and half day closures on Christmas and New Year’s Eve.
That’s not all. You’ll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%. We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.
We always want to give you the support you need and help prioritise your wellbeing, that’s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.
On top of all that, our hybrid model, Connected Working, combines the best of both worlds – office and home working. You’ll have two fixed weekly office days for team collaboration and one more of your choice to suit your work-life balance.
Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad.
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Senior Data Scientist employer: JIM - Jobs In Manchester
Contact Detail:
JIM - Jobs In Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Databricks, and ML frameworks. Having a solid understanding of these tools will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Engage with the data science community on platforms like LinkedIn or GitHub. Share your projects or insights related to machine learning and data science. This can help you build a network and showcase your expertise, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your experience in leading cross-functional teams. Think of specific examples where you've successfully orchestrated data science projects, as this aligns closely with what Autotrader is looking for in a Senior Data Scientist.
✨Tip Number 4
Research Autotrader's current projects and initiatives in data science. Understanding their goals and challenges will allow you to tailor your discussions during interviews, showing that you're genuinely interested in contributing to their mission.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on machine learning workflows and any projects you've led. Use specific examples that demonstrate your ability to deliver data science solutions in a commercial setting.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with their needs, especially your experience with Python, SQL, and ML frameworks. Mention your passion for coaching and collaborating with cross-functional teams.
Showcase Your Projects: If possible, include links to your portfolio or GitHub where you have showcased your data science projects. Highlight any work that involved orchestrating data science projects or engaging with stakeholders to identify opportunities.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms, deployment strategies, and statistical methods. Be ready to discuss your past experiences and how they relate to the responsibilities of the Senior Data Scientist role.
How to prepare for a job interview at JIM - Jobs In Manchester
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your expertise in Python, SQL, and machine learning frameworks. Be prepared to discuss specific projects where you've successfully implemented these technologies, and consider bringing examples of your work to share during the interview.
✨Understand the Company’s Vision
Familiarise yourself with Autotrader's mission and recent projects. Understanding how your role as a Senior Data Scientist fits into their broader goals will help you articulate how you can contribute to their data-driven transformation.
✨Prepare for Collaborative Scenarios
Since the role involves working in cross-functional teams, be ready to discuss your experience in collaboration. Think of examples where you've led or supported other data scientists and how you’ve engaged with both technical and non-technical stakeholders.
✨Demonstrate Your Passion for Mentorship
Autotrader values a culture of shared insights and continuous learning. Be prepared to talk about your experience in coaching or mentoring junior data analysts and scientists, and how you foster a supportive environment for growth within your team.
